在冠状动脉心脏病患者中开发和应用人工智能后续系统
Liping Zhang1, Yanan Chen2, Qiao Yang1
1Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Digital health
|July 28, 2025
概括
与手动方法相比,人工智能辅助的冠心病 (CHD) 患者的随访平台提高了效率和患者满意度. 这种智能系统为慢性疾病管理提供了可扩展的解决方案,减少了医疗保健工作人员的工作量.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 心血管疾病管理管理
背景情况:
- 冠心病 (CHD) 是全球主要的死亡原因,在离院后的患者管理方面存在重大挑战.
- 对心血管疾病患者进行不充分的后续护理导致不良的坚持,低的自我管理和增加的再入院.
- 传统的手动随访是低效的,耗时的,缺乏针对复杂患者需求的个性化.
研究的目的:
- 为心脏病患者开发和评估一个人工智能辅助的随访平台.
- 评估平台对后续效率,患者满意度和医疗保健工作人员工作量的影响.
- 为智能慢性疾病管理建立一个可扩展的模型.
主要方法:
- 一项前性队列研究,涉及4000名心血管疾病患者.
- 手动随访组 (n=2000) 与人工智能辅助随访组 (n=2000) 的比较.
- 评估关键绩效指标:随访率,反收集,患者满意度和员工工作量.
主要成果:
- 人工智能辅助的随访显著提高了患者满意度 (94.5%对比74.0%,P < 0.001).
- 人工智能平台减少了医务人员的工作量,每100名患者平均节省了13.2小时.
- 随访和反收集率在人工智能辅助和手动组之间是可比的.
结论:
- 人工智能辅助的后续平台是有效的,提高了CHD患者和提供者的效率和满意度.
- 患者分析和IVR技术的整合使得个性化,动态和经济高效的慢性疾病管理成为可能.
- 支持人工智能的系统显示出优化慢性疾病护理和医疗保健资源利用的潜力.
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